Faculty of Medicine, National University of Rwanda, Butare, Rwanda.
J Hum Hypertens. 2011 Jan;25(1):47-56. doi: 10.1038/jhh.2010.32. Epub 2010 Mar 25.
Hypertension is emerging in many developing nations as a leading cause of cardiovascular mortality, morbidity and disability in adults. In sub-Saharan African (SSA) countries it has specificities such as occurring in young and active adults, resulting in severe complications dominated by heart failure and taking place in limited-resource settings in which an individual's access to treatment (affordability) is very limited. Within this context of restrained economic conditions, the greatest gains for SSA in controlling the hypertension epidemic lie in its prevention. Attempts should be made to detect hypertensive patients early before irreversible organ damage becomes apparent, and to provide them with the best possible and affordable non-pharmacological and pharmacological treatment. Therefore, efforts should be made for detection and early management at the community level. In this context, a standardized algorithm of management can help in the rational use of available resources. Although many international and regional guidelines have been published, they cannot apply to SSA settings because the economy of the countries and affordability of the patients do not allow access to advocated treatment. In addition, none of them suggest a clear algorithm of management for limited-resource settings at the community level. In line with available data and analysing existing guidelines, a practical algorithm for management of hypertension at the community level, including treatment affordability, has been suggested in the present work.
高血压正在许多发展中国家成为导致成年人心血管疾病死亡、发病和残疾的主要原因。在撒哈拉以南非洲(SSA)国家,它具有一些特殊性,例如在年轻和活跃的成年人中发生,导致以心力衰竭为主的严重并发症,并发生在资源有限的环境中,个体获得治疗的机会(负担能力)非常有限。在这种经济条件有限的情况下,SSA 控制高血压流行的最大收益在于预防。应努力在不可逆的器官损伤变得明显之前尽早发现高血压患者,并为他们提供尽可能最好且负担得起的非药物和药物治疗。因此,应努力在社区层面进行检测和早期管理。在这种情况下,标准化的管理算法可以帮助合理利用现有资源。尽管已经发布了许多国际和区域指南,但它们不能适用于 SSA 环境,因为这些国家的经济和患者的负担能力不允许采用所倡导的治疗方法。此外,它们都没有为社区层面的资源有限环境提供明确的管理算法。根据现有数据并分析现有指南,本工作提出了一种实用的社区层面高血压管理算法,包括治疗的负担能力。